Files
Cerbero-mcp/src/cerbero_mcp/exchanges/alpaca/client.py
T
root c94312d79f feat(V2): shared Candle validator + uniform 'candles' response key
Introduce common/candles.py with a Pydantic Candle model enforcing OHLC
consistency (high≥max, low≤min), non-negative volume and positive
timestamp. validate_candles() coerces upstream rows, sorts by timestamp
and raises HTTPException(502) on malformed data — surfacing upstream
data corruption as a retryable envelope instead of silently returning
nonsense.

Wired into all five exchange historical endpoints (Bybit, Hyperliquid,
Deribit, Alpaca, IBKR). BREAKING: Alpaca get_bars and IBKR get_bars now
return 'candles' (was 'bars') to align with the other exchanges.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-10 19:19:20 +00:00

520 lines
18 KiB
Python

"""Alpaca client su httpx puro (V2.0.0).
Riscrittura full-REST del client `alpaca-py` originale: 4 endpoint base
(trading, stock data, crypto data, options data), auth via header
APCA-API-KEY-ID / APCA-API-SECRET-KEY, parità completa con la versione V1
(stesse firme, stessa shape dei dict ritornati).
- `base_url` parametro override applica SOLO al trading endpoint
(coerente con `url_override` di alpaca-py.TradingClient). Gli endpoint
data restano hardcoded su `https://data.alpaca.markets`.
- I metodi ritornano `dict` / `list[dict]` direttamente dal JSON REST
(al posto dei modelli pydantic alpaca-py serializzati). Le chiavi sono
quelle restituite dall'API Alpaca; equivalgono al `model_dump()` dei
modelli SDK precedenti.
"""
from __future__ import annotations
import datetime as _dt
from typing import Any
import httpx
from cerbero_mcp.common.candles import validate_candles
from cerbero_mcp.common.http import async_client
# ── Endpoint base ────────────────────────────────────────────────
_TRADING_LIVE = "https://api.alpaca.markets"
_TRADING_PAPER = "https://paper-api.alpaca.markets"
_DATA = "https://data.alpaca.markets"
# ── Mappa timeframe → query param Alpaca ─────────────────────────
# Alpaca v2 bars: timeframe = "1Min" / "5Min" / "15Min" / "30Min" / "1Hour" / "1Day" / "1Week"
_TF_MAP = {
"1min": "1Min",
"5min": "5Min",
"15min": "15Min",
"30min": "30Min",
"1h": "1Hour",
"1d": "1Day",
"1w": "1Week",
}
_ASSET_CLASS_MAP = {
"stocks": "us_equity",
"crypto": "crypto",
"options": "us_option",
}
def _tf(interval: str) -> str:
if interval in _TF_MAP:
return _TF_MAP[interval]
raise ValueError(f"unsupported timeframe: {interval}")
def _asset_class_param(ac: str) -> str:
ac = ac.lower()
if ac in _ASSET_CLASS_MAP:
return _ASSET_CLASS_MAP[ac]
raise ValueError(f"invalid asset_class: {ac}")
def _iso(value: _dt.datetime | _dt.date | None) -> str | None:
if value is None:
return None
return value.isoformat()
class AlpacaClient:
"""Client httpx-based per Alpaca REST API v2.
Auth via header `APCA-API-KEY-ID` / `APCA-API-SECRET-KEY`.
"""
def __init__(
self,
api_key: str,
secret_key: str,
paper: bool = True,
base_url: str | None = None,
http: httpx.AsyncClient | None = None,
) -> None:
self.api_key = api_key
self.secret_key = secret_key
self.paper = paper
# `base_url` mantenuto come attributo pubblico (test/build_client lo
# leggono). Override del solo endpoint trading; data endpoints sono
# sempre `data.alpaca.markets` (Alpaca non offre paper data feed).
self.base_url = base_url
if base_url:
self._trading_base = base_url
else:
self._trading_base = _TRADING_PAPER if paper else _TRADING_LIVE
self._data_base = _DATA
# Single long-lived AsyncClient → reuse connection pool.
self._http = http or async_client(timeout=30.0)
async def aclose(self) -> None:
"""Chiudi connessioni HTTP. Idempotente."""
if not self._http.is_closed:
await self._http.aclose()
async def health(self) -> dict[str, Any]:
"""Probe minimo per /health/ready: nessuna chiamata di rete."""
return {"status": "ok", "paper": self.paper}
# ── Helpers ──────────────────────────────────────────────────
@property
def _headers(self) -> dict[str, str]:
return {
"APCA-API-KEY-ID": self.api_key,
"APCA-API-SECRET-KEY": self.secret_key,
"Accept": "application/json",
}
async def _request(
self,
method: str,
base: str,
path: str,
*,
params: dict[str, Any] | None = None,
json_body: dict[str, Any] | None = None,
) -> Any:
"""Esegue una richiesta HTTP autenticata e ritorna il JSON parsato.
Per response body vuoto (es. DELETE 204) ritorna `{}`.
Solleva `httpx.HTTPStatusError` su 4xx/5xx tramite raise_for_status.
"""
url = f"{base}{path}"
# httpx scarta i query params con valore None automaticamente solo se
# passati come list of tuples; con dict dobbiamo filtrare a monte.
clean_params: dict[str, Any] | None = None
if params is not None:
clean_params = {k: v for k, v in params.items() if v is not None}
if not clean_params:
clean_params = None
resp = await self._http.request(
method,
url,
params=clean_params,
json=json_body,
headers=self._headers,
)
resp.raise_for_status()
if not resp.content:
return {}
return resp.json()
# ── Account / positions ──────────────────────────────────────
async def get_account(self) -> dict:
data = await self._request("GET", self._trading_base, "/v2/account")
return dict(data) if data else {}
async def get_positions(self) -> list[dict]:
data = await self._request("GET", self._trading_base, "/v2/positions")
return list(data) if data else []
async def get_activities(self, limit: int = 50) -> list[dict]:
data = await self._request(
"GET",
self._trading_base,
"/v2/account/activities",
params={"page_size": limit},
)
items = list(data) if data else []
return items[:limit]
# ── Assets ──────────────────────────────────────────────────
async def get_assets(
self, asset_class: str = "stocks", status: str = "active"
) -> list[dict]:
data = await self._request(
"GET",
self._trading_base,
"/v2/assets",
params={
"status": status,
"asset_class": _asset_class_param(asset_class),
},
)
items = list(data) if data else []
return items[:500]
# ── Market data ─────────────────────────────────────────────
async def get_ticker(self, symbol: str, asset_class: str = "stocks") -> dict:
ac = asset_class.lower()
if ac == "stocks":
trade_resp = await self._request(
"GET",
self._data_base,
f"/v2/stocks/{symbol}/trades/latest",
)
quote_resp = await self._request(
"GET",
self._data_base,
f"/v2/stocks/{symbol}/quotes/latest",
)
trade = (trade_resp or {}).get("trade") or {}
quote = (quote_resp or {}).get("quote") or {}
return {
"symbol": symbol,
"asset_class": "stocks",
"last_price": trade.get("p"),
"bid": quote.get("bp"),
"ask": quote.get("ap"),
"bid_size": quote.get("bs"),
"ask_size": quote.get("as"),
"timestamp": trade.get("t"),
}
if ac == "crypto":
trade_resp = await self._request(
"GET",
self._data_base,
"/v1beta3/crypto/us/latest/trades",
params={"symbols": symbol},
)
quote_resp = await self._request(
"GET",
self._data_base,
"/v1beta3/crypto/us/latest/quotes",
params={"symbols": symbol},
)
trade = ((trade_resp or {}).get("trades") or {}).get(symbol) or {}
quote = ((quote_resp or {}).get("quotes") or {}).get(symbol) or {}
return {
"symbol": symbol,
"asset_class": "crypto",
"last_price": trade.get("p"),
"bid": quote.get("bp"),
"ask": quote.get("ap"),
"timestamp": trade.get("t"),
}
if ac == "options":
quote_resp = await self._request(
"GET",
self._data_base,
f"/v1beta1/options/{symbol}/quotes/latest",
)
quote = (quote_resp or {}).get("quote") or {}
return {
"symbol": symbol,
"asset_class": "options",
"bid": quote.get("bp"),
"ask": quote.get("ap"),
"timestamp": quote.get("t"),
}
raise ValueError(f"invalid asset_class: {asset_class}")
async def get_bars(
self,
symbol: str,
asset_class: str = "stocks",
interval: str = "1d",
start: str | None = None,
end: str | None = None,
limit: int = 1000,
) -> dict:
tf = _tf(interval)
start_dt = (
_dt.datetime.fromisoformat(start)
if start
else (_dt.datetime.now(_dt.UTC) - _dt.timedelta(days=30))
)
end_dt = _dt.datetime.fromisoformat(end) if end else _dt.datetime.now(_dt.UTC)
ac = asset_class.lower()
params: dict[str, Any] = {
"symbols": symbol,
"timeframe": tf,
"start": _iso(start_dt),
"end": _iso(end_dt),
"limit": limit,
}
if ac == "stocks":
# IEX feed di default — coerente con default alpaca-py free tier.
params["feed"] = "iex"
data = await self._request(
"GET", self._data_base, "/v2/stocks/bars", params=params
)
elif ac == "crypto":
data = await self._request(
"GET",
self._data_base,
"/v1beta3/crypto/us/bars",
params=params,
)
elif ac == "options":
data = await self._request(
"GET",
self._data_base,
"/v1beta1/options/bars",
params=params,
)
else:
raise ValueError(f"invalid asset_class: {asset_class}")
bars_dict = (data or {}).get("bars") or {}
rows = bars_dict.get(symbol) or []
def _iso_to_ms(ts: str | int | None) -> int | None:
if ts is None or isinstance(ts, int):
return ts
return int(_dt.datetime.fromisoformat(
ts.replace("Z", "+00:00")
).timestamp() * 1000)
candles = validate_candles([
{
"timestamp": _iso_to_ms(b.get("t")),
"open": b.get("o"),
"high": b.get("h"),
"low": b.get("l"),
"close": b.get("c"),
"volume": b.get("v"),
}
for b in rows
])
return {
"symbol": symbol,
"asset_class": ac,
"interval": interval,
"candles": candles,
}
async def get_snapshot(self, symbol: str) -> dict:
data = await self._request(
"GET",
self._data_base,
"/v2/stocks/snapshots",
params={"symbols": symbol},
)
# API ritorna {"AAPL": {snapshot}} o {"snapshots": {...}} — gestiamo
# entrambi i formati; v2/stocks/snapshots ritorna dict top-level
# symbol→snapshot.
if data is None:
return {}
if symbol in data:
return data[symbol] or {}
snaps = data.get("snapshots") or {}
return snaps.get(symbol) or {}
async def get_option_chain(
self,
underlying: str,
expiry: str | None = None,
) -> dict:
params: dict[str, Any] = {}
if expiry:
# Validazione date (solleva ValueError su input invalido,
# parità con V1 che usava _dt.date.fromisoformat).
_dt.date.fromisoformat(expiry)
params["expiration_date_gte"] = expiry
params["expiration_date_lte"] = expiry
data = await self._request(
"GET",
self._data_base,
f"/v1beta1/options/snapshots/{underlying}",
params=params or None,
)
contracts = (data or {}).get("snapshots") if data else None
return {
"underlying": underlying,
"expiry": expiry,
"contracts": contracts if contracts is not None else (data or {}),
}
# ── Orders ──────────────────────────────────────────────────
async def get_open_orders(self, limit: int = 50) -> list[dict]:
data = await self._request(
"GET",
self._trading_base,
"/v2/orders",
params={"status": "open", "limit": limit},
)
return list(data) if data else []
async def place_order(
self,
symbol: str,
side: str,
qty: float | None = None,
notional: float | None = None,
order_type: str = "market",
limit_price: float | None = None,
stop_price: float | None = None,
tif: str = "day",
asset_class: str = "stocks",
) -> dict:
ot = order_type.lower()
body: dict[str, Any] = {
"symbol": symbol,
"side": side.lower(),
"type": ot,
"time_in_force": tif.lower(),
}
if qty is not None:
body["qty"] = str(qty)
if notional is not None:
body["notional"] = str(notional)
if ot == "market":
pass
elif ot == "limit":
if limit_price is None:
raise ValueError("limit_price required for limit order")
body["limit_price"] = str(limit_price)
elif ot == "stop":
if stop_price is None:
raise ValueError("stop_price required for stop order")
body["stop_price"] = str(stop_price)
else:
raise ValueError(f"unsupported order_type: {order_type}")
# `asset_class` non è un parametro REST; mantenuto in firma per parità
# con V1 (era usato solo da SDK per scegliere il request model).
_ = asset_class
data = await self._request(
"POST",
self._trading_base,
"/v2/orders",
json_body=body,
)
return dict(data) if data else {}
async def amend_order(
self,
order_id: str,
qty: float | None = None,
limit_price: float | None = None,
stop_price: float | None = None,
tif: str | None = None,
) -> dict:
body: dict[str, Any] = {}
if qty is not None:
body["qty"] = str(qty)
if limit_price is not None:
body["limit_price"] = str(limit_price)
if stop_price is not None:
body["stop_price"] = str(stop_price)
if tif is not None:
body["time_in_force"] = tif.lower()
data = await self._request(
"PATCH",
self._trading_base,
f"/v2/orders/{order_id}",
json_body=body,
)
return dict(data) if data else {}
async def cancel_order(self, order_id: str) -> dict:
# DELETE /v2/orders/{id} → 204 No Content su success.
await self._request(
"DELETE", self._trading_base, f"/v2/orders/{order_id}"
)
return {"order_id": order_id, "canceled": True}
async def cancel_all_orders(self) -> list[dict]:
# DELETE /v2/orders → 207 Multi-Status con array di {id, status}
data = await self._request(
"DELETE", self._trading_base, "/v2/orders"
)
return list(data) if data else []
# ── Position close ──────────────────────────────────────────
async def close_position(
self, symbol: str, qty: float | None = None, percentage: float | None = None
) -> dict:
# DELETE /v2/positions/{symbol}?qty=... oppure ?percentage=...
params: dict[str, Any] = {}
if qty is not None:
params["qty"] = str(qty)
if percentage is not None:
params["percentage"] = str(percentage)
data = await self._request(
"DELETE",
self._trading_base,
f"/v2/positions/{symbol}",
params=params or None,
)
return dict(data) if data else {}
async def close_all_positions(self, cancel_orders: bool = True) -> list[dict]:
data = await self._request(
"DELETE",
self._trading_base,
"/v2/positions",
params={"cancel_orders": "true" if cancel_orders else "false"},
)
return list(data) if data else []
# ── Clock / calendar ────────────────────────────────────────
async def get_clock(self) -> dict:
data = await self._request("GET", self._trading_base, "/v2/clock")
return dict(data) if data else {}
async def get_calendar(
self, start: str | None = None, end: str | None = None
) -> list[dict]:
params: dict[str, Any] = {}
if start:
_dt.date.fromisoformat(start) # validazione, parità V1
params["start"] = start
if end:
_dt.date.fromisoformat(end)
params["end"] = end
data = await self._request(
"GET",
self._trading_base,
"/v2/calendar",
params=params or None,
)
return list(data) if data else []